Whisper Small Hebrew
This model is a fine-tuned version of openai/whisper-small on the ivrit-ai/whisper-training dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for mike249/whisper-small-he-3
Base model
openai/whisper-smallDataset used to train mike249/whisper-small-he-3
Evaluation results
- Wer on ivrit-ai/whisper-trainingself-reported37.865